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Mohamed Abdelkader
Also published under:Mohamed F. Abdelkader, Mohammad Abdelkader, M. F. Abdelkader, M. Abdelkader
Affiliation
Computer and Information Sciences Department, Prince Sultan University, Riyadh, Saudi Arabia
Topic
Unmanned Aerial Vehicles,Angular Velocity,Control Strategy,Robust Control,Root Mean Square Error,Adaptive Control,Deep Neural Network,External Disturbances,Kalman Filter,Kalman Filter For Estimation,Neural Network,Object Detection,Optimal Control,Position Measurements,Proportional-integral-derivative,Simulation Environment,2D Images,3D Space,Acrylonitrile Butadiene Styrene,Adaptive Backstepping,Adaptive Law,Adaptive Model,Adaptive Selection,Adaptive Tracking,Adaptive Tracking Control,Aerial Vehicles,Aerodynamic,Antenna Gain,Application Server,Asymptotically Stable,Autopilot,Auxiliary Variables,Average Pooling Layer,Backstepping Control,Bezier Curve,Biosensor,Bounding Box,Camera Frame,Carbon Nanofibers,Carbon Nanotubes,Cascade Control,Channel Coherence Time,Circular Trajectory,Closed-loop System,Coherence Time,Collection Area,Collision Probability,Conductive Filaments,Constant Velocity,Constant Velocity Model,
Biography
Mohamed Abdelkader received the Ph.D. degree in mechanical engineering from the King Abdullah University of Science & Technology (KAUST). His research work focused on developing real-time distributed autonomous multi-robot systems for pursuit-evasion applications which was demonstrated by a real multi-drone system with KAUST. He is currently working as an Assistant Professor with Prince Sultan University, Riyadh, Saudi Arabia. Prior to joining PSU, he held a couple of positions as a senior unmanned aerial vehicles engineer and the technical team lead for a couple of startups (Algorythma and Systemtio) in Abu Dhabi, United Arab Emirates, where he led projects for developing autonomous aerial robots for security and surveillance. He also worked as a Lab Scientist with the Research & Development Center, Saudi Aramco, where he contributed to the development of intelligent industrial inspection robots supported by over 12 patent applications. His main research works are in the development of intelligent swarm robotic systems and autonomous navigation.